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Director​/Sr. Director​/Exec. Director Computational Chemistry, Advanced Molecular Design

Job in Louisville, Boulder County, Colorado, 80028, USA
Listing for: Eli Lilly and Company
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life‑changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

Overview

At Lilly we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but we also develop creative solutions to support communities through philanthropy and volunteerism.

The Lilly Small Molecule Discovery group is purpose‑built to create molecules that make life better for people. We focus on using cutting‑edge science to unlock new approaches that can treat diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. Our success is built on a culture that empowers innovative problem‑solving through open collaboration and individual accountability.

Position

Summary

Lilly’s Advanced Molecular Design (AMD) team is responsible for small‑molecule lead optimization with rapid progress toward new clinical candidates for patients in need. We are currently looking for experienced drug discovery experts who will apply cutting‑edge computational chemistry tools in close collaborative efforts with our colleagues across medicinal chemistry and structural biology. The ideal candidate will be passionate about a holistic approach to drug discovery and will consider all aspects of molecular design up to and including clinical trials.

Interactive communication and interpersonal collaboration will be essential to successfully fulfill this important leadership role in Lilly Small Molecule Discovery.

Responsibilities
  • Structure‑based design efforts for the lead/late‑stage optimization of small‑molecule therapeutics across a range of therapeutic areas
  • Play a key role in prioritizing medicinal chemistry efforts through critical analysis and effective decision‑making, leading to highly focused work and rapid progress
  • Ensure the timely delivery of data and results to project teams to enable rapid iterative design cycles
  • Maintain critical timelines and set team expectations for efficient delivery of clinical candidates
  • Contribute to decision‑making at higher levels, up to and including prioritization of our overall small‑molecule discovery portfolio
  • Work closely with other AMD and therapeutic area leaders to move our portfolio of molecules from leads to quality drug candidates that have a strong potential to become breakthrough drugs
  • Contribute to the ongoing evaluation of external technologies and related business development opportunities
Basic Requirements
  • PhD in Chemistry, Biophysics, or a related discipline with 6–15 years of drug discovery research experience
Additional Preferences
  • A deep scientific background in computational chemistry technology to guide compound optimization for medicinal chemists
  • Proven ability to collaborate across disciplines to achieve project goals and timelines
  • Proactive and effective collaboration with medicinal chemists, structural biologists, and other disciplines to achieve project goals and timelines
  • A commitment to mentoring early‑career computational chemists
  • Strong core desire to help patients in need
  • Proven track record of success in drug discovery
  • Deep‑thinking that leads to creative hypotheses for the optimization of lead series across multiple projects
  • A strong desire to establish a deeper understanding of all aspects of drug discovery, including small‑molecule–protein interactions, ADME, and toxicological considerations
  • A proactive and highly engaged approach to solving challenging problems in discovery is essential
  • A desire to continually stay up to date…
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